In:
Coastal Engineering Proceedings, Coastal Engineering Research Council, , No. 37 ( 2023-09-01), p. 16-
Abstract:
The accurate estimation of a typhoon is a key to improving the reproducibility of typhoon-induced storm surges. The grid point value (GPV) data of Local Forecasting Model (LFM), which are provided by the Japan Meteorological Agency (JMA), are shown to be the most accurate data to simulate typhoons in and around Japan. However, due to the limitations of LFM data (limited spatial and temporal coverage), the atmospheric reanalysis data, which are available for the global domain covering a long period, are commonly used in practical applications. According to previous researchers, it is expected to give a better representation of typhoons in terms of structure and intensity with reanalysis datasets although they are in too coarse resolutions to capture the internal dynamics (Malakar et al., 2020), and the reproducibility of typhoons with different reanalysis datasets varies over different oceanic basins (Schenkel and Hart, 2012). Hence, this paper analyses the two major atmospheric reanalysis datasets together with LFM dataset, and confirms their applicability to reproduce typhoon-induced storm surges in Japan.
Type of Medium:
Online Resource
ISSN:
2156-1028
,
0589-087X
DOI:
10.9753/icce.v37.management.16
Language:
Unknown
Publisher:
Coastal Engineering Research Council
Publication Date:
2023
detail.hit.zdb_id:
2628774-2
